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Stochastic Traffic-Assignment with Multi-modes Based on Bounded Rationality

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International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings (ITASC 2019)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 127))

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Abstract

This paper proposes a stochastic traffic assignment model with multi-modes incorporating the concept of bounded rationality. Multi-criteria decision is considered using TODIM (which stands for “multi-criteria, interactive decision making” in Portuguese) method to generate variable demands, route uncertainty is taken into account based on cumulative prospect theory to measure route choice behavior. A numerical example is used to verify the validity of the new model. The sensitivity of the scaling parameters for the mode and route choice is also analyzed. Results confirmed the model’s applicability and showed that travelers’ preferences on different routes are reference dependent. Two scaling parameters have a significant influence on the final results and must be estimated very carefully from real data.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (Number 71861032), National Natural Science Foundation of Xinjiang (Number 2018D01C071) and the doctoral research fund of Xinjiang University.

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Authors and Affiliations

  1. School of Civil and Architectural Engineering, Xinjiang University, Urumqi, China

    Zhi Zuo & Lixiao Wang

  2. Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, 5600MB, Eindhoven, Netherlands

    Xiaofeng Pan & Tao Feng

Authors
  1. Zhi Zuo
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  2. Xiaofeng Pan
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  3. Lixiao Wang
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  4. Tao Feng
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Corresponding author

Correspondence to Zhi Zuo .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, Shanghai, China

    Xiaoqing Zeng

  2. Department of Geotechnical Engineering, Tongji University , Shanghai, Shanghai, China

    Xiongyao Xie

  3. Shanghai Jiao Tong University , Shanghai, Shanghai, China

    Jian Sun

  4. School of Environmental Science and Engineering, Tongji University , Shanghai, Shanghai, China

    Limin Ma

  5. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Yinong Chen

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Informed consent was obtained from all individual participants included in the study.

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Zuo, Z., Pan, X., Wang, L., Feng, T. (2019). Stochastic Traffic-Assignment with Multi-modes Based on Bounded Rationality. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings. ITASC 2019. Smart Innovation, Systems and Technologies, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-13-7542-2_5

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  • DOI: https://doi.org/10.1007/978-981-13-7542-2_5

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  • Online ISBN: 978-981-13-7542-2

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